Responsibilities

The Applied Science Manager - AI/GAI will lead and mentor a team of machine learning scientists and engineers to deliver high-quality ML/AI solutions, owning the entire ML lifecycle from data exploration to model deployment and monitoring. They will architect and implement models for recommendation systems, classification, forecasting, and generative AI use-cases, collaborating cross-functionally with product, engineering, and MLOps teams to translate business needs into scalable ML solutions. This role involves leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences, championing model performance, interpretability, and reproducibility, and contributing to reusable AI/ML tooling and best practices to improve development velocity.